关键词: 指纹识别, 缺失图像, 关联特征, 地统计学

Abstract: Most fingerprint identification algorithm has low accuracy for incomplete image, a novel miss fingerprint identification based on linked features of geostatistics and subset matching is proposed in this paper. Image preprocessing is performed by Gabor filter, binary conversion and thinning. The image is partitioned into several sub-images without overlapped image. The features of each sub-image are extracted such as the linked features of geostatistics, fingerprint minutiaes of fork point and endpoint. The performance of algorithm is test by simulation experiments. The result shows that the proposed method has achieved higher identification accuracy in missing images and has not increased consuming time.

Key words: fingerprint identification, incomplete image, linked features, geostatistics